Classification of text documents presents a unique challenge to conventional classification algorithms. Due to the existence of large number of features in the datasets, providing a desired representation for text documents can be seen as another problem. In this paper a simple but effective representation model for text documents to tackle the classification problem is discussed. Two different...

Text mining is an emerging technology that can be used to augment existing data in corporate databases by making unstructured text data available for analysis. The incredible increase in online documents, which has been mostly due to the expanding internet, has renewed the interest in automated document classification and data mining. The demand for text classification to aid the analysis and m...

In the real world, an operational text classification system is usually placed in the environment where the amount of human-annotated training documents is small in spite of thousands of classes. In this environment text classifier are probably the most appropriate methods for the practical systems rather than other complex learning models. Text classifiers are basically used for free flowing t...

In text classification, one key problem is its inherent dichotomy of polysemy and synonym; the other problem is the insufficient usage of abundant useful, but unlabeled text documents. Targeting on solving these problems, we incorporate a sprinkling Latent Semantic Indexing (LSI) with background knowledge for text classification. The motivation comes from: 1) LSI is a popular technique for info...

On the internet huge data are in the uncategorized form. Big information is hidden behind this uncategorized scene of data. If classification of these internet documents done, then it will be helpful in many cases. All the documents related to a single class can be found at the single location. This paper considers the different text categorization systems. These systems are using different cla...

Indonesian government has developed a system for citizens to voice their aspirations and complaints, which are then stored in the form of short documents. Unfortunately, the existing system employs human annotators to manually categorize the short documents, which is very expensive and time-consuming. As a result, automatically classifying the short documents into their correct topics will redu...